The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Computer-Adaptive Online Exit Surveys: Conceptual and Methodological Issues
Abstract
Theories of student attrition based on Tinto’s Student Integration Model are limited in their ability to provide a comprehensive framework to design a computer-adaptive online exit survey. An alternative framework encompassing the overall impressions and experiences of the dropout students during their stay at the institution is used to design the exit survey. This chapter outlines the conceptual and methodological issues surrounding computer-adaptive online exit surveys, and discusses the design, development, and administration of the survey questionnaire.
Related Content
|
Natwaine Sherune Gardner, Kedon J. S. Luke, Andrew O. Wheatley, Winston De La Haye, Perceval Steven Bahado-Singh, Lowell L. Dilworth, Donovan A. McGrowder, Everard Barton, Lauriann E. Young-Martin, Ajibeke Salako-Akande, Henry Lowe, Errol Morrison, Denise Eldermire-Shearer, Helen Asemota.
© 2019.
21 pages.
|
|
Alessandro Massaro.
© 2019.
25 pages.
|
|
Sami D. Alaruri.
© 2019.
14 pages.
|
|
K. Vinoth Kumar, Prawin Angel Michael.
© 2019.
15 pages.
|
|
Nitin K. Mandavgade, Santosh B. Jaju, Ramesh R. Lakhe.
© 2019.
22 pages.
|
|
Madan Kumar Sharma, Mithilesh Kumar Kumar, Satya P. Singh.
© 2019.
21 pages.
|
|
Andreia de Lima Fioravante, Evelyn de Freitas Guimarães, Fabiano Barbieri Gonzaga, Cristiane Rodrigues Augusto, Claudia Cipriano Ribeiro, Eliane Cristina Pires do Rego, Elaine Batista de Santana, Laura Alves das Neves, Lucas Junqueira de Carvalho, Renato Rubim Ribeiro de Almeida, Rodrigo C. de Sena, Marcelo de Almeida Dominguez, Janaina Marques Rodrigues Caixeiro, Valnei Smarçaro da Cunha, Sidney P. Sobral.
© 2019.
20 pages.
|
|
|